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A. Dorais, J. Cardille (2011)
Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in BorneoRemote. Sens., 3
Denny Zwiefelhofer (2007)
Comparison of Bald Eagle (Haliaeetus leucocephalus) Nesting and Productivity at Kodiak National Wildlife Refuge, Alaska, 1963–2002, 41
A. Hodgson, N. Kelly, D. Peel (2013)
Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case StudyPLoS ONE, 8
B. Mack, R. Roscher, B. Waske (2014)
Can I Trust My One-Class Classification?Remote. Sens., 6
N. Barbier, P. Couteron, C. Proisy, Y. Malhi, J. Gastellu-Etchegorry (2010)
The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forestsGlobal Ecology and Biogeography, 19
Steven Phillips, Miroslav Dudík (2008)
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluationEcography, 31
Steven Phillips, R. Anderson, R. Schapire (2006)
Maximum entropy modeling of species geographic distributionsEcological Modelling, 190
(2014)
The use of LiDAR to determine the presence of Malleefowl mounds
(2012)
Exploring the Houtman Abrolhos Islands
T. Dennis, A. Lashmar (2010)
DISTRIBUTION AND ABUNDANCE OF WHITE-BELLIED SEA-EAGLES IN SOUTH AUSTRALIA
R. Dolbeer, J. Belant, Glen Bernhardt (1997)
Aerial Photography Techniques to Estimate Populations of Laughing Gull Nests in Jamaica Bay, New York, 1992-1995, 20
P. Frederick, Becky Hylton, J. Heath, M. Ruane (2003)
Accuracy and variation in estimates of large numbers of birds by individual observers using an aerial survey simulator, 74
D. Bajzak, J. Piatt (1990)
COMPUTER-AIDED PROCEDURE FOR COUNTING WATERFOWL ON AERIAL PHOTOGRAPHSWildlife Society Bulletin, 18
U. Benz, P. Hofmann, G. Willhauck, I. Lingenfelder, Markus Heynen (2004)
Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready informationIsprs Journal of Photogrammetry and Remote Sensing, 58
J. Benshemesh, W. Emison (1996)
Surveying malleefowl breeding densities using an airborne thermal scannerWildlife Research, 23
C. Witharana, H. Lynch (2016)
An Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite ImagesRemote. Sens., 8
R. Anthony, W. Anderson, J. Sedinger, L. McDonald (1995)
Estimating populations of nesting brant using aerial videographyWildlife Society Bulletin, 23
S. Thompson, G. Thompson, J. Sackmann, Julia Spark, C. TristanBrown (2015)
Using high-definition aerial photography to search in 3D for malleefowl mounds is a cost-effective alternative to ground searchesPacific Conservation Biology, 21
D. Butler (2002)
Visualizing Animal Impacts on the Landscape: Remote Sensing in the Geography ClassroomGeocarto International, 17
J. Shephard, C. Catterall, J. Hughes (2005)
Long-term variation in the distribution of the White-bellied Sea-Eagle (Haliaeetus leucogaster) across AustraliaAustral Ecology, 30
H. David (2013)
A statistical explanation of MaxEnt for ecologists
R. Haralick (1973)
Textural features for image classification. IEEE Transaction on Systems, Man, and Cybernetics, 3
(2012)
eCognition Developer 8 . 8 Reference Book
C. Tucker (1979)
Red and photographic infrared linear combinations for monitoring vegetationRemote Sensing of Environment, 8
A. Abd-Elrahman (2005)
Development of Pattern Recognition Algorithm for Automatic Bird Detection from Unmanned Aerial Vehicle Imagery, 65
Yuhong He, S. Franklin, Xulin Guo, G. Stenhouse (2011)
Object-oriented classification of multi-resolution images for the extraction of narrow linear forest disturbanceRemote Sensing Letters, 2
J. Sauer, M. Otto, W. Kendall, Guthrie Zimmerman (2011)
Monitoring Bald Eagles using Lists of Nests: Response to Watts and Duerr, 75
B. Watts, A. Duerr (2010)
Nest Turnover Rates and List-Frame Decay in Bald Eagles: Implications for the National Monitoring Plan, 74
D. Gilmer, J. Brass, L. Strong, D. Card (1988)
Goose counts from aerial photographs using an optical digitizerWildlife Society Bulletin, 16
Ictn, P. Higgins, S. Davies (1997)
Handbook of Australian, New Zealand & Antarctic Birds. Volume 3: Snipe to Pigeons, 20
C. Vermeulen, P. Lejeune, Jonathan Lisein, Prosper Sawadogo, Philippe Bouché (2013)
Unmanned Aerial Survey of ElephantsPLoS ONE, 8
S. Barber-Meyer, G. Kooyman, P. Ponganis (2007)
Estimating the relative abundance of emperor penguins at inaccessible colonies using satellite imageryPolar Biology, 30
P. Ploton, P. Ploton, R. Pélissier, C. Proisy, Théo Flavenot, N. Barbier, S. Rai, P. Couteron (2012)
Assessing aboveground tropical forest biomass using Google Earth canopy images.Ecological applications : a publication of the Ecological Society of America, 22 3
B. Watts, Glenn Therres, M. Byrd (2008)
Recovery of the Chesapeake Bay Bald Eagle Nesting Population, 72
(2003)
Inventory of the land conservation values of the Houtman Abrolhos Islands, Fisheries Management Paper No
boobies dactylatra, B. Hughes, G. Martin, James Reynolds, K. Erikstad (2011)
The use of Google EarthTM satellite imagery to detect the nests of masked boobies Sula dactylatra, 17
Stefanie Stenzel, H. Feilhauer, B. Mack, A. Metz, S. Schmidtlein (2014)
Remote sensing of scattered Natura 2000 habitats using a one-class classifierInt. J. Appl. Earth Obs. Geoinformation, 33
C. Mering, Johanna Baro, E. Upegui (2010)
Retrieving urban areas on Google Earth images: application to towns of West AfricaInternational Journal of Remote Sensing, 31
Le Yu, P. Gong (2012)
Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectivesInternational Journal of Remote Sensing, 33
T. Blaschke (2010)
Object based image analysis for remote sensingIsprs Journal of Photogrammetry and Remote Sensing, 65
Steven Phillips, J. Elith (2013)
On estimating probability of presence from use-availability or presence-background data.Ecology, 94 6
L. Waser, C. Ginzler, M. Kuechler, E. Baltsavias, L. Hurni (2011)
Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 dataRemote Sensing of Environment, 115
J. Wiersma, Amm Richardson (2009)
Foraging of white-bellied sea-eagles Haliaeetus leucogaster in relation to marine fish farms in Tasmania, 33
G. Groom, M. Stjernholm, R. Nielsen, Andrew Fleetwood, I. Petersen (2013)
Remote sensing image data and automated analysis to describe marine bird distributions and abundancesEcol. Informatics, 14
D. Cunningham, W. Anderson, R. Anthony (1996)
An image-processing program for automated countingWildlife Society Bulletin, 24
J. Gemert, C. Verschoor, P. Mettes, Kitso Epema, L. Koh, S. Wich (2014)
UvA-DARE (Digital Academic Repository) Nature Conservation Drones for Automatic Localization and Counting of Animals
(2005)
Maxent software for species habitat modeling, version 3.3.3k
S. Thurstans, Bluewings (2009)
A SURVEY OF WHITE-BELLIED SEA-EAGLE Haliaeetus leucogaster NESTS IN TASMANIA IN 2003
S. Begall, J. Červený, Julia Neef, O. Vojtěch, H. Burda (2008)
Magnetic alignment in grazing and resting cattle and deerProceedings of the National Academy of Sciences, 105
K. Moffett, S. Gorelick (2013)
Distinguishing wetland vegetation and channel features with object-based image segmentationInternational Journal of Remote Sensing, 34
A. Monroe, David Edmunds, Cameron Aldridge (2016)
Effects of lek count protocols on greater sage‐grouse population trend estimatesJournal of Wildlife Management, 80
Wenkai Li, Q. Guo
Please Scroll down for Article International Journal of Remote Sensing a Maximum Entropy Approach to One-class Classification of Remote Sensing Imagery a Maximum Entropy Approach to One-class Classification of Remote Sensing Imagery
(2009)
A survey of the breeding seabirds and migratory shorebirds of the Houtman Abrolhos, Western Australia
J. Elith, Catherine Graham, Robert Anderson, Miroslav Dudı́k, Simon Ferrier, A. Guisan, R. Hijmans, F. Huettmann, J. Leathwick, Anthony Lehmann, Jin Li, Lúcia Lohmann, Bette Loiselle, G. Manion, Craig Moritz, Miguel Nakamura, Yoshinori Nakazawa, J. Overton, A. Peterson, Steven Phillips, Karen Richardson, R. Scachetti-Pereira, R. Schapire, Jorge Soberón, Stephen Williams, M. Wisz, N. Zimmermann (2006)
Novel methods improve prediction of species' distributions from occurrence dataEcography, 29
Q. Guo, M. Kelly, P. Gong, Desheng Liu (2007)
An Object-Based Classification Approach in Mapping Tree Mortality Using High Spatial Resolution ImageryGIScience & Remote Sensing, 44
Jinyao Lin, Xiaoping Liu, Kai Li, Xia Li (2014)
A maximum entropy method to extract urban land by combining MODIS reflectance, MODIS NDVI, and DMSP-OLS dataInternational Journal of Remote Sensing, 35
Zheng Yang, Tiejun Wang, A. Skidmore, Jan Leeuw, M. Said, J. Freer (2014)
Spotting East African Mammals in Open Savannah from SpacePLoS ONE, 9
T. Dennis, R. McIntosh, P. Shaughnessy (2011)
Effects of human disturbance on productivity of White-bellied Sea-Eagles (Haliaeetus leucogaster)Emu - Austral Ornithology, 111
M. Meekan, C. Bradshaw, M. Press, C. McLean, A. Richards, Suzy Quasnichka, J. Taylor (2006)
Population size and structure of whale sharks Rhincodon typus at Ningaloo Reef, Western AustraliaMarine Ecology Progress Series, 319
P. Olea, P. Mateo‐Tomás (2016)
Exploiting virtual globes for ecology and conservation in the Digital Earth eraFrontiers in Ecology and the Environment, 14
F. Sardà‐Palomera, G. Bota, C. Viñolo, Oriol Pallares, Víctor Sazatornil, L. Brotóns, S. Gomáriz, F. Sardá (2012)
Fine-scale bird monitoring from light unmanned aircraft systemsIbis, 154
Magdeline Laba, B. Blair, R. Downs, B. Monger, W. Philpot, Stephen Smith, P. Sullivan, P. Baveye (2010)
Use of textural measurements to map invasive wetland plants in the Hudson River National Estuarine Research Reserve with IKONOS satellite imageryRemote Sensing of Environment, 114
S. Thurstans (2009)
Modelling the nesting habitat of the white-bellied sea-eagle Haliaeetus leucogaster in Tasmania, 33
R. Lasaponara, G. Leucci, N. Masini, R. Persico, G. Scardozzi (2016)
Towards an operative use of remote sensing for exploring the past using satellite data: The case study of Hierapolis (Turkey)Remote Sensing of Environment, 174
A. Puttock, Andrew Cunliffe, K. Anderson, R. Brazier (2015)
Aerial photography collected with a multirotor drone reveals impact of Eurasian beaver reintroduction on ecosystem structure1, 3
D. Priddel, R. Wheeler (2003)
Nesting activity and demography of an isolated population of malleefowl (Leipoa ocellata)Wildlife Research, 30
N. Pettorelli, W. Laurance, T. O'Brien, M. Wegmann, H. Nagendra, W. Turner (2014)
Satellite remote sensing for applied ecologists: opportunities and challengesJournal of Applied Ecology, 51
W. Funk, J. McKay, Paul Hohenlohe, F. Allendorf (2012)
Harnessing genomics for delineating conservation units.Trends in ecology & evolution, 27 9
G. Groom, Ib Petersen, M. Anderson, A. Fox (2011)
Using object-based analysis of image data to count birds: mapping of Lesser Flamingos at Kamfers Dam, Northern Cape, South AfricaInternational Journal of Remote Sensing, 32
P. Fretwell, P. Trathan (2009)
Penguins from space: faecal stains reveal the location of emperor penguin coloniesGlobal Ecology and Biogeography, 18
J. Shephard, J. Hughes, C. Catterall, P. Olsen (2005)
Conservation status of the White-Bellied Sea-Eagle Haliaeetus leucogaster in Australia determined using mtDNA control region sequence dataConservation Genetics, 6
J. enshemesh (1996)
Surveying Breeding Densities of Malleefowl Using an Airborne Thermal Scanner
Fiona Westcott, M. Andrew (2015)
Spatial and environmental patterns of off-road vehicle recreation in a semi-arid woodlandApplied Geography, 62
K. Nicholson, L. Bejder, S. Allen, M. Krützen, K. Pollock (2012)
Abundance, survival and temporary emigration of bottlenose dolphins (Tursiops sp.) off Useless Loop in the western gulf of Shark Bay, Western AustraliaMarine and Freshwater Research, 63
L. Mejias, Gwenael Duclos, A. Hodgson, F. Maire (2013)
Automated marine mammal detection from aerial imagery2013 OCEANS - San Diego
M. Larue, J. Rotella, R. Garrott, D. Siniff, D. Ainley, Glenn Stauffer, C. Porter, P. Morin (2011)
Satellite imagery can be used to detect variation in abundance of Weddell seals (Leptonychotes weddellii) in Erebus Bay, AntarcticaPolar Biology, 34
John Curnutt, W. Robertson (1994)
Bald eagle nest site characteristics in south FloridaJournal of Wildlife Management, 58
R. Haralick, K. Shanmugam, I. Dinstein (1973)
Textural Features for Image ClassificationIEEE Trans. Syst. Man Cybern., 3
J. Grier, J. Gerrard, G. Hamilton, P. Gray (1981)
Aerial-Visibility Bias and Survey Techniques for Nesting Bald Eagles in Northwestern OntarioJournal of Wildlife Management, 45
V. Visser, Bárbara Langdon, Aníbal Pauchard, D. Richardson (2014)
Unlocking the potential of Google Earth as a tool in invasion scienceBiological Invasions, 16
(1974)
Bald eagle nesting habitat density and reproduction in central Saskatchewan and Manitoba
P. Trathan (2004)
Image analysis of color aerial photography to estimate penguin population size, 32
K. Johansen, C. Roelfsema, S. Phinn (2008)
High spatial resolution remote sensing for environmental monitoring and management preface:Journal of Spatial Science, 53
Alexander Andel, S. Wich, C. Boesch, L. Koh, M. Robbins, Joseph Kelly, H. Kuehl (2015)
Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicleAmerican Journal of Primatology, 77
(2004)
Numbers of nonburrowing breeding seabirds of the Houtman Abrolhos: 1991-1993 and 1999
Lei Luo, Xinyuan Wang, Huadong Guo, Chuansheng Liu, Jie Liu, Li Li, Xiaocui Du, Guoquan Qian (2014)
Automated Extraction of the Archaeological Tops of Qanat Shafts from VHR Imagery in Google EarthRemote. Sens., 6
A. Laliberte, W. Ripple (2003)
Automated wildlife counts from remotely sensed imageryWildlife Society Bulletin, 31
Remote Sensing in Ecology and Conservation – Wiley
Published: Jun 1, 2017
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